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From blanket bans to specific prohibitions

Previously, OpenAI had a strict ban on using its technology for any “activity that has high risk of physical harm, including” “weapons development” and “military and warfare.” This would prevent any government or military agency from using OpenAI’s services for defense or security purposes. However, the new policy has removed the general ban on “military and warfare” use. Instead, it has listed some specific examples of prohibited use cases, such as “develop or use weapons” or “harm yourself or others.”

According to Chinese news sources, Chinese scientists have allegedly harnessed plasma to develop a working energy shield for drones and other military tech.


Chinese scientists have allegedly developed an energy shield to protect some of its military assets, the South China Morning Post (SCMP) reports. Utilizing a special kind of plasma, the energy shield is designed to resist potentially harmful microwaves from damaging delicate electronics. If the claims of its existence are true, the new shield is a significant leap in directed energy technology, especially in the ongoing aerial-to-anti-aerial arms race.

Shields up!

High-powered electromagnetic radiation (EM), like microwaves, can compromise modern technology, including military chips fortified with special circuits, even at close range. These powerful waves can cause electrical interference in the chip and significantly increase its internal temperature. For this reason, sensitive electronics must be shielded and protected as much as possible.

U.S. Defense and State Department officials aim to meet with delegates from at least 50 other nations by mid-2024 to discuss the nascent framework and standards doctrine they’ve recently signed onto, pledging to “responsibly” develop and deploy artificial intelligence and autonomous military technologies, according to a top Pentagon policymaker.

Originally produced in early 2023, State spotlighted the Political Declaration on Responsible Military Use of AI and Autonomy in November — and confirmed then that more than 40 countries formally endorsed it.

“We’re up to 51 now, including the United States, and we’re proud of the fact that it’s not just the usual suspects,” Michael Horowitz, deputy assistant secretary of defense for force development and emerging capabilities, said on Tuesday during a webcast hosted by the Center for Strategic and International Studies.

WASHINGTON — The Space Development Agency confirmed on Jan. 8 that it awarded Rocket Lab a $515 million contract to build and operate 18 spacecraft that will be part of a low Earth orbit network of military satellites.

SpaceNews first reported on this contract award on Dec. 23 after the agreement was disclosed in a regulatory filing.

Rocket Lab becomes the third supplier of SDA’s Transport Layer Tranche 2 Beta satellites — projected to launch in mid-2027 — that will carry radios using the UHF (Ultra High Frequency) and S-band frequencies that military and intelligence units rely upon for voice and low-speed data transmissions.

WASHINGTON — The U.S. Space Force has inked a $19.8 million deal with Microsoft to develop a virtual and mixed-reality training environment. This agreement positions the tech giant in the burgeoning military simulation market and expands its Azure cloud’s reach into space applications.

The one-year contract announced Jan. 5 is to continue work on an augmented reality space simulation tool that Microsoft started developing last year for the Space Systems Command in Los Angeles.

Dubbed the Integrated, Immersive, Intelligent Environment (I3E), the system features Microsoft’s HoloLens headsets, Azure cloud platform, and a mesh framework for building shared AR experiences. Together, these technologies enable an interactive model of space with accurately scaled orbital objects that users can manipulate in real time.

DARPA and Aurora Flight Sciences have begun building the first full-scale X-65 aircraft to demonstrate a new method of flight control that uses no external moving parts.

The X-65 is an experimental jet being developed by the Control of Revolutionary Aircraft with Novel Effectors (CRANE) program overseen by DARPA, (Defense Advanced Research Projects Agency), the Pentagon’s research and development agency. Since the first aircraft were invented, they have been controlled by moving surfaces such as rudders, flaps, elevators and ailerons.

Weather forecasting is important for various sectors, including agriculture, military operations, and aviation, as well as for predicting natural disasters like tornados and cyclones. It relies on predicting the movement of air in the atmosphere, which is characterized by turbulent flows resulting in chaotic eddies of air.

However, accurately predicting this turbulence has remained significantly challenging owing to the lack of data on small-scale , which leads to the introduction of small initial errors. These errors can, in turn, lead to drastic changes in the flow states later, a phenomenon known as the chaotic butterfly effect.

To address the challenge of limited data on small-scale turbulent flows, a data-driven method known as Data Assimilation (DA) has been employed for forecasting. By integrating various sources of information, this approach enables the inference of details about small-scale turbulent eddies from their larger counterparts.